Computer Engineering and Applications ›› 2023, Vol. 59 ›› Issue (5): 28-39.DOI: 10.3778/j.issn.1002-8331.2208-0229

• Research Hotspots and Reviews • Previous Articles     Next Articles

Survey of Artificial Intelligence in COVID-19 Pandemic

SUN Shukui, FAN Jing, LI Zhanwen, QU Jinshuai, LU Peidong   

  1. 1.School of Electrical and Information Technology, Yunnan Minzu University, Kunming 650000, China
    2.University Laboratory of Information and Communication on Security Backup and Recovery in Yunnan Province, Yunnan Minzu University, Kunming 650000, China
    3.Second Clinical Medical College, Harbin Medical University, Harbin 150000, China
  • Online:2023-03-01 Published:2023-03-01



  1. 1.云南民族大学 电气信息工程学院,昆明 650000
    2.云南民族大学 云南省高校信息与通信安全灾备重点实验室,昆明 650000
    3.哈尔滨医科大学 第二临床医学院,哈尔滨 150000

Abstract: The outbreak of novel coronavirus pneumonia(COVID-19) poses a great threat to the safety of human life and property in the world. Artificial intelligence(AI) has played an irreplaceable role in helping to win the battle against the epidemic. With the help of AI, the shortage of medical resources has been greatly alleviated, the efficiency of medical diagnosis has been improved, and the risk of contact infection has been avoided. Firstly, the background knowledge of COVID-19 and AI is expounded. Then, the research progress of AI in COVID-19 is discussed from the eight aspects of epidemic prevention and control, including epidemic trend prediction, epidemic traceability, detection and diagnosis, drug development, vaccine development, drug reuse, network public opinion control and genome sequencing, and the challenges faced by AI in the epidemic are listed. Then it discusses the impact of the epidemic on China’s AI industry and the dialectical relationship between the two. Finally, it summarizes the full text.

Key words: artificial intelligence, corona virus disease, epidemic prevention and control, deep learning

摘要: 新型冠状病毒肺炎(corona virus disease,COVID-19)的暴发对全球人类的生命财产安全造成了巨大威胁。人工智能(artificial intelligence,AI)为助力打赢这场疫情攻坚战发挥了不可替代的作用。由于AI的助力,医疗资源紧张的问题得到大幅度缓解,并提高了医疗诊断效率,同时也避免接触感染的风险。阐述了COVID-19和AI的背景知识,从疫情趋势预测、疫情溯源追踪、检测诊断、药物开发、疫苗研制、药物再利用、网络舆论管控以及基因组测序这8个疫情防控的环节讨论了AI在本次COVID-19中的研究进展,并列举本次疫情中AI所面临的挑战,浅谈本次疫情对我国AI产业影响以及两者的辩证关系,对全文进行总结。

关键词: 人工智能, 新型冠状病毒肺炎, 疫情防控, 深度学习